Introduction
Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are:
- Supports feed-forward networks such as Convolutional Neural Networks (CNNs), recurrent networks including Long Short-Term Memory (LSTM), and any combination thereof
- Allows architectures of multiple inputs and multiple outputs, including auxiliary classifiers
- Many optimization methods including Nesterov momentum, RMSprop and ADAM
- Freely definable cost function and no need to derive gradients due to Theano's symbolic differentiation
- Transparent support of CPUs and GPUs due to Theano's expression compiler
For more information, visit the Lasagne page at GitHub.
Programming language: Python
Brief description: A lightweight library.
Open source license: custom open source license
Recommended Software Version
Lasagne 0.1
Parent topic: Lasagne 0.1 Porting Guide (Kylin V10)